






'''simple docstring'''
import unittest

from diffusers.models.unet_ad_blocks import *  # noqa F403
from diffusers.utils import torch_device

from .test_unet_blocks_common import UNetBlockTesterMixin


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Tuple									=     DownBlockaD  # noqa F405
    __lowerCamelCase: int									=     'down'




    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       lowercase_						:     Dict							     =  [-0.0232, -0.9869, 0.8054, -0.0637, -0.1688, -1.4264, 0.4470, -1.3394, 0.0904]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: int									=     ResnetDownsampleBlockaD  # noqa F405
    __lowerCamelCase: Tuple									=     'down'




    def 					lowerCAmelCase__					(      self	:							str      ):






       '''simple docstring'''






       lowercase_						:     int							     =  [0.0710, 0.2410, -0.7320, -1.0757, -1.1343, 0.3540, -0.0133, -0.2576, 0.0948]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Union[str, Any]									=     AttnDownBlockaD  # noqa F405
    __lowerCamelCase: Optional[int]									=     'down'




    def 					lowerCAmelCase__					(      self	:							Union[str, Any]      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  [0.0636, 0.8964, -0.6234, -1.0131, 0.0844, 0.4935, 0.3437, 0.0911, -0.2957]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Tuple									=     CrossAttnDownBlockaD  # noqa F405
    __lowerCamelCase: Union[str, Any]									=     'down'




    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       lowercase_						:     str							     =  super().prepare_init_args_and_inputs_for_common()
       lowercase_						:     Union[str, Any]							     =  3_2
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							Tuple      ):






       '''simple docstring'''






       lowercase_						:     Dict							     =  [0.2238, -0.7396, -0.2255, -0.3829, 0.1925, 1.1665, 0.0603, -0.7295, 0.1983]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Optional[int]									=     SimpleCrossAttnDownBlockaD  # noqa F405
    __lowerCamelCase: str									=     'down'




    @property
    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       return super().get_dummy_input(include_encoder_hidden_states=_A      )




    def 					lowerCAmelCase__					(      self	:							str      ):






       '''simple docstring'''






       lowercase_						:     Tuple							     =  super().prepare_init_args_and_inputs_for_common()
       lowercase_						:     str							     =  3_2
       return init_dict, inputs_dict





    @unittest.skipIf(torch_device == "mps"	,  "MPS result is not consistent"      )
    def 					lowerCAmelCase__					(      self	:							Any      ):






       '''simple docstring'''






       lowercase_						:     List[str]							     =  [0.7921, -0.0992, -0.1962, -0.7695, -0.4242, 0.7804, 0.4737, 0.2765, 0.3338]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Any									=     SkipDownBlockaD  # noqa F405
    __lowerCamelCase: Dict									=     'down'




    @property
    def 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






       return super().get_dummy_input(include_skip_sample=_A      )





    def 					lowerCAmelCase__					(      self	:							Union[str, Any]      ):






       '''simple docstring'''






       lowercase_						:     Tuple							     =  [-0.0845, -0.2087, -0.2465, 0.0971, 0.1900, -0.0484, 0.2664, 0.4179, 0.5069]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Union[str, Any]									=     AttnSkipDownBlockaD  # noqa F405
    __lowerCamelCase: Tuple									=     'down'




    @property
    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       return super().get_dummy_input(include_skip_sample=_A      )





    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       lowercase_						:     Dict							     =  [0.5539, 0.1609, 0.4924, 0.0537, -0.1995, 0.4050, 0.0979, -0.2721, -0.0642]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Tuple									=     DownEncoderBlockaD  # noqa F405
    __lowerCamelCase: List[str]									=     'down'




    @property
    def 					lowerCAmelCase__					(      self	:							str      ):






       '''simple docstring'''






       return super().get_dummy_input(include_temb=_A      )




    def 					lowerCAmelCase__					(      self	:							List[Any]      ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  {
           '''in_channels''': 3_2,
           '''out_channels''': 3_2,
       }
       lowercase_						:     Tuple							     =  self.dummy_input
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							List[str]      ):






       '''simple docstring'''






       lowercase_						:     Dict							     =  [1.1102, 0.5302, 0.4872, -0.0023, -0.8042, 0.0483, -0.3489, -0.5632, 0.7626]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: str									=     AttnDownEncoderBlockaD  # noqa F405
    __lowerCamelCase: int									=     'down'




    @property
    def 					lowerCAmelCase__					(      self	:							List[Any]      ):






       '''simple docstring'''






       return super().get_dummy_input(include_temb=_A      )




    def 					lowerCAmelCase__					(      self	:							List[str]      ):






       '''simple docstring'''






       lowercase_						:     List[Any]							     =  {
           '''in_channels''': 3_2,
           '''out_channels''': 3_2,
       }
       lowercase_						:     int							     =  self.dummy_input
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  [0.8966, -0.1486, 0.8568, 0.8141, -0.9046, -0.1342, -0.0972, -0.7417, 0.1538]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Union[str, Any]									=     UNetMidBlockaD  # noqa F405
    __lowerCamelCase: Tuple									=     'mid'




    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       lowercase_						:     List[Any]							     =  {
           '''in_channels''': 3_2,
           '''temb_channels''': 1_2_8,
       }
       lowercase_						:     Any							     =  self.dummy_input
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							Any      ):






       '''simple docstring'''






       lowercase_						:     Optional[int]							     =  [-0.1062, 1.7248, 0.3494, 1.4569, -0.0910, -1.2421, -0.9984, 0.6736, 1.0028]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: int									=     UNetMidBlockaDCrossAttn  # noqa F405
    __lowerCamelCase: Union[str, Any]									=     'mid'




    def 					lowerCAmelCase__					(      self	:							Union[str, Any]      ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  super().prepare_init_args_and_inputs_for_common()
       lowercase_						:     Tuple							     =  3_2
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       lowercase_						:     Tuple							     =  [0.0187, 2.4220, 0.4484, 1.1203, -0.6121, -1.5122, -0.8270, 0.7851, 1.8335]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Any									=     UNetMidBlockaDSimpleCrossAttn  # noqa F405
    __lowerCamelCase: Any									=     'mid'




    @property
    def 					lowerCAmelCase__					(      self	:							str      ):






       '''simple docstring'''






       return super().get_dummy_input(include_encoder_hidden_states=_A      )




    def 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






       lowercase_						:     str							     =  super().prepare_init_args_and_inputs_for_common()
       lowercase_						:     Optional[Any]							     =  3_2
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							List[Any]      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  [0.7143, 1.9974, 0.5448, 1.3977, 0.1282, -1.1237, -1.4238, 0.5530, 0.8880]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Dict									=     UpBlockaD  # noqa F405
    __lowerCamelCase: Any									=     'up'




    @property
    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       return super().get_dummy_input(include_res_hidden_states_tuple=_A      )





    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       lowercase_						:     str							     =  [-0.2041, -0.4165, -0.3022, 0.0041, -0.6628, -0.7053, 0.1928, -0.0325, 0.0523]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Optional[int]									=     ResnetUpsampleBlockaD  # noqa F405
    __lowerCamelCase: int									=     'up'




    @property
    def 					lowerCAmelCase__					(      self	:							List[str]      ):






       '''simple docstring'''






       return super().get_dummy_input(include_res_hidden_states_tuple=_A      )





    def 					lowerCAmelCase__					(      self	:							Union[str, Any]      ):






       '''simple docstring'''






       lowercase_						:     str							     =  [0.2287, 0.3549, -0.1346, 0.4797, -0.1715, -0.9649, 0.7305, -0.5864, -0.6244]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: str									=     CrossAttnUpBlockaD  # noqa F405
    __lowerCamelCase: Tuple									=     'up'




    @property
    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       return super().get_dummy_input(include_res_hidden_states_tuple=_A      )




    def 					lowerCAmelCase__					(      self	:							List[str]      ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  super().prepare_init_args_and_inputs_for_common()
       lowercase_						:     Union[str, Any]							     =  3_2
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							Union[str, Any]      ):






       '''simple docstring'''






       lowercase_						:     Optional[int]							     =  [-0.1403, -0.3515, -0.0420, -0.1425, 0.3167, 0.5094, -0.2181, 0.5931, 0.5582]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: List[str]									=     SimpleCrossAttnUpBlockaD  # noqa F405
    __lowerCamelCase: Optional[Any]									=     'up'




    @property
    def 					lowerCAmelCase__					(      self	:							Tuple      ):






       '''simple docstring'''






       return super().get_dummy_input(include_res_hidden_states_tuple=_A	,  include_encoder_hidden_states=_A      )




    def 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






       lowercase_						:     Optional[int]							     =  super().prepare_init_args_and_inputs_for_common()
       lowercase_						:     Optional[Any]							     =  3_2
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							Any      ):






       '''simple docstring'''






       lowercase_						:     List[Any]							     =  [0.2645, 0.1480, 0.0909, 0.8044, -0.9758, -0.9083, 0.0994, -1.1453, -0.7402]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Union[str, Any]									=     AttnUpBlockaD  # noqa F405
    __lowerCamelCase: Any									=     'up'




    @property
    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       return super().get_dummy_input(include_res_hidden_states_tuple=_A      )





    @unittest.skipIf(torch_device == "mps"	,  "MPS result is not consistent"      )
    def 					lowerCAmelCase__					(      self	:							Optional[int]      ):






       '''simple docstring'''






       lowercase_						:     List[Any]							     =  [0.0979, 0.1326, 0.0021, 0.0659, 0.2249, 0.0059, 0.1132, 0.5952, 0.1033]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Optional[int]									=     SkipUpBlockaD  # noqa F405
    __lowerCamelCase: List[Any]									=     'up'




    @property
    def 					lowerCAmelCase__					(      self	:							str      ):






       '''simple docstring'''






       return super().get_dummy_input(include_res_hidden_states_tuple=_A      )





    def 					lowerCAmelCase__					(      self	:							List[str]      ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  [-0.0893, -0.1234, -0.1506, -0.0332, 0.0123, -0.0211, 0.0566, 0.0143, 0.0362]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: List[Any]									=     AttnSkipUpBlockaD  # noqa F405
    __lowerCamelCase: Union[str, Any]									=     'up'




    @property
    def 					lowerCAmelCase__					(      self	:							Any      ):






       '''simple docstring'''






       return super().get_dummy_input(include_res_hidden_states_tuple=_A      )





    def 					lowerCAmelCase__					(      self	:							List[Any]      ):






       '''simple docstring'''






       lowercase_						:     str							     =  [0.0361, 0.0617, 0.2787, -0.0350, 0.0342, 0.3421, -0.0843, 0.0913, 0.3015]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Optional[int]									=     UpDecoderBlockaD  # noqa F405
    __lowerCamelCase: Tuple									=     'up'




    @property
    def 					lowerCAmelCase__					(      self	:							List[Any]      ):






       '''simple docstring'''






       return super().get_dummy_input(include_temb=_A      )




    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  {'''in_channels''': 3_2, '''out_channels''': 3_2}

       lowercase_						:     int							     =  self.dummy_input
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       lowercase_						:     int							     =  [0.4404, 0.1998, -0.9886, -0.3320, -0.3128, -0.7034, -0.6955, -0.2338, -0.3137]
       super().test_output(_A      )


class 							_UpperCAmelCase    (		snake_case					,       unittest.TestCase      ):
    __lowerCamelCase: Union[str, Any]									=     AttnUpDecoderBlockaD  # noqa F405
    __lowerCamelCase: Tuple									=     'up'




    @property
    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       return super().get_dummy_input(include_temb=_A      )




    def 					lowerCAmelCase__					(      self	:							List[str]      ):






       '''simple docstring'''






       lowercase_						:     List[Any]							     =  {'''in_channels''': 3_2, '''out_channels''': 3_2}

       lowercase_						:     str							     =  self.dummy_input
       return init_dict, inputs_dict





    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       lowercase_						:     List[Any]							     =  [0.6738, 0.4491, 0.1055, 1.0710, 0.7316, 0.3339, 0.3352, 0.1023, 0.3568]
       super().test_output(_A      )












'''simple docstring'''





from unittest.mock import patch

import pyspark

from datasets.packaged_modules.spark.spark import (
    Spark,
    SparkExamplesIterable,
    _generate_iterable_examples,
)

from ..utils import (
    require_dill_gt_0_3_2,
    require_not_windows,
)
def __UpperCAmelCase   (					A					:			Optional[int]			,       A					:			Optional[int]		)    ->   str:
			UpperCAmelCase_      :       List[Any]          =       []
			for part_id in partition_order:
						UpperCAmelCase_      :       Any          =       df.where(F"SPARK_PARTITION_ID() = {part_id}"		).collect()
						for row_idx, row in enumerate(A		):
									expected_row_ids_and_row_dicts.append((F"{part_id}_{row_idx}", row.asDict())		)
			return expected_row_ids_and_row_dicts
@require_not_windows
@require_dill_gt_0_3_2
def __UpperCAmelCase   (					)    ->   Any:
			UpperCAmelCase_      :       Any          =       pyspark.sql.SparkSession.builder.master('''local[*]'''		).appName('''pyspark'''		).getOrCreate()
			UpperCAmelCase_      :       List[str]          =       spark.range(1_0_0		).repartition(1		)
			UpperCAmelCase_      :       List[Any]          =       Spark(A		)
			# The id ints will be converted to Pyarrow int64s, so each row will be 8 bytes. Setting a max_shard_size of 16 means
			# that each partition can hold 2 rows.
			spark_builder._repartition_df_if_needed(max_shard_size=1_6		)
			# Given that the dataframe has 100 rows and each partition has 2 rows, we expect 50 partitions.
			assert spark_builder.df.rdd.getNumPartitions() == 5_0
@require_not_windows
@require_dill_gt_0_3_2
def __UpperCAmelCase   (					)    ->   str:
			UpperCAmelCase_      :       List[str]          =       pyspark.sql.SparkSession.builder.master('''local[*]'''		).appName('''pyspark'''		).getOrCreate()
			UpperCAmelCase_      :       Optional[Any]          =       spark.range(1_0		).repartition(2		)
			UpperCAmelCase_      :       int          =       [1, 0]
			UpperCAmelCase_      :       str          =       _generate_iterable_examples(A			,       A		)  # Reverse the partitions.
			UpperCAmelCase_      :       Optional[Any]          =       _get_expected_row_ids_and_row_dicts_for_partition_order(A			,       A		)

			for i, (row_id, row_dict) in enumerate(generate_fn()		):
						UpperCAmelCase_    ,      UpperCAmelCase_      :       int          =       expected_row_ids_and_row_dicts[i]
						assert row_id == expected_row_id
						assert row_dict == expected_row_dict
@require_not_windows
@require_dill_gt_0_3_2
def __UpperCAmelCase   (					)    ->   Union[str, Any]:
			UpperCAmelCase_      :       str          =       pyspark.sql.SparkSession.builder.master('''local[*]'''		).appName('''pyspark'''		).getOrCreate()
			UpperCAmelCase_      :       List[Any]          =       spark.range(1_0		).repartition(1		)
			UpperCAmelCase_      :       Optional[int]          =       SparkExamplesIterable(A		)
			assert it.n_shards == 1
			for i, (row_id, row_dict) in enumerate(A		):
						assert row_id == F"0_{i}"
						assert row_dict == {"id": i}
@require_not_windows
@require_dill_gt_0_3_2
def __UpperCAmelCase   (					)    ->   Union[str, Any]:
			UpperCAmelCase_      :       Dict          =       pyspark.sql.SparkSession.builder.master('''local[*]'''		).appName('''pyspark'''		).getOrCreate()
			UpperCAmelCase_      :       Dict          =       spark.range(3_0		).repartition(3		)
			# Mock the generator so that shuffle reverses the partition indices.
			with patch('''numpy.random.Generator'''		) as generator_mock:
						UpperCAmelCase_      :       Any          =       lambda A		: x.reverse()
						UpperCAmelCase_      :       Dict          =       _get_expected_row_ids_and_row_dicts_for_partition_order(A			,       [2, 1, 0]		)

						UpperCAmelCase_      :       List[Any]          =       SparkExamplesIterable(A		).shuffle_data_sources(A		)
						assert shuffled_it.n_shards == 3
						for i, (row_id, row_dict) in enumerate(A		):
									UpperCAmelCase_    ,      UpperCAmelCase_      :       Dict          =       expected_row_ids_and_row_dicts[i]
									assert row_id == expected_row_id
									assert row_dict == expected_row_dict
@require_not_windows
@require_dill_gt_0_3_2
def __UpperCAmelCase   (					)    ->   int:
			UpperCAmelCase_      :       Tuple          =       pyspark.sql.SparkSession.builder.master('''local[*]'''		).appName('''pyspark'''		).getOrCreate()
			UpperCAmelCase_      :       int          =       spark.range(2_0		).repartition(4		)

			# Partitions 0 and 2
			UpperCAmelCase_      :       int          =       SparkExamplesIterable(A		).shard_data_sources(worker_id=0			,       num_workers=2		)
			assert shard_it_a.n_shards == 2
			UpperCAmelCase_      :       Union[str, Any]          =       _get_expected_row_ids_and_row_dicts_for_partition_order(A			,       [0, 2]		)
			for i, (row_id, row_dict) in enumerate(A		):
						UpperCAmelCase_    ,      UpperCAmelCase_      :       Dict          =       expected_row_ids_and_row_dicts_a[i]
						assert row_id == expected_row_id
						assert row_dict == expected_row_dict

			# Partitions 1 and 3
			UpperCAmelCase_      :       Tuple          =       SparkExamplesIterable(A		).shard_data_sources(worker_id=1			,       num_workers=2		)
			assert shard_it_a.n_shards == 2
			UpperCAmelCase_      :       List[str]          =       _get_expected_row_ids_and_row_dicts_for_partition_order(A			,       [1, 3]		)
			for i, (row_id, row_dict) in enumerate(A		):
						UpperCAmelCase_    ,      UpperCAmelCase_      :       Union[str, Any]          =       expected_row_ids_and_row_dicts_a[i]
						assert row_id == expected_row_id
						assert row_dict == expected_row_dict







@require_not_windows
@require_dill_gt_0_3_2
def __UpperCAmelCase   (					)    ->   Any:
			UpperCAmelCase_      :       List[Any]          =       pyspark.sql.SparkSession.builder.master('''local[*]'''		).appName('''pyspark'''		).getOrCreate()
			UpperCAmelCase_      :       List[str]          =       spark.range(1_0_0		).repartition(1		)
			UpperCAmelCase_      :       int          =       Spark(A		)
			# Choose a small max_shard_size for maximum partitioning.
			spark_builder._repartition_df_if_needed(max_shard_size=1		)
			# The new number of partitions should not be greater than the number of rows.
			assert spark_builder.df.rdd.getNumPartitions() == 1_0_0


